Business Professionals: Including analysts, managers, and executives who need to analyse and present data to make informed business decisions.

Requirements

1. Understanding of Data Concepts: While not mandatory, having a basic understanding of data concepts (e.g., what is a database, what are tables and columns) can be helpful.

2. Familiarity with Microsoft Excel: Knowledge of Excel is beneficial since Power BI shares similarities with Excel in terms of data manipulation and visualization. However, it's not strictly required as Power BI has its own interface and functionalities.

3. Analytical Skills: A fundamental ability to analyse data and derive insights will aid in effectively using Power BI to create meaningful reports and dashboards.

Power BI (Business Intelligence) has been experiencing growing demand in the job market due to its powerful data visualization and business analytics capabilities. Here are some key points regarding the job prospects of Power BI

1. Increasing Demand: There has been a significant increase in demand for professionals skilled in Power BI. Many organizations are adopting Power BI as their preferred tool for data visualization and analysis due to its user-friendly interface and integration capabilities with other Microsoft products.

2. Wide Adoption: Power BI is widely adopted across various industries including finance, healthcare, retail, and technology. This widespread adoption increases the job opportunities for individuals proficient in Power BI.

3. Skill Set in Demand: Employers are actively seeking candidates who have skills in creating dashboards, reports, and data models using Power BI. Knowledge of DAX (Data Analysis Expressions) and M language can further enhance job prospects.

4. Integration with Microsoft Ecosystem: Power BI integrates seamlessly with other Microsoft tools such as Excel, Azure, and SQL Server. Professionals who are proficient in these tools along with Power BI are particularly valuable.

5. Roles and Titles: Job titles for Power BI professionals may vary but commonly include roles such as Business Intelligence Analyst, Data Analyst, BI Developer, and Data Visualization Specialist. These roles typically involve designing and developing BI solutions using Power BI.

6. Career Growth: As organizations continue to leverage data for decision-making, the demand for skilled Power BI professionals is expected to grow. Continuous learning and staying updated with the latest features and updates in Power BI can further enhance career growth prospects.

1. User-Friendly Interface:

• Power BI offers an intuitive and user-friendly interface that allows users to create interactive visualizations and reports without extensive technical expertise.

2. Data Integration Capabilities:

• It integrates seamlessly with a wide range of data sources, including Excel, SQL Server, Azure, and many other cloud-based and on-premises data platforms.

3. Powerful Data Visualization:

• Power BI provides a variety of visualizations such as charts, graphs, maps, and tables that can be customized to suit specific business needs and insights.

4. Advanced Analytics and AI Integration:

• Users can leverage advanced analytics capabilities within Power BI, including predictive analytics and machine learning algorithms through Azure integration.

5. Real-Time Dashboards:

• Power BI allows for the creation of real-time dashboards that provide up-to-date insights and KPI monitoring, facilitating quick decision-making.

6. Cloud-Based Collaboration:

• With Power BI Service, users can publish and share reports and dashboards securely across the organization, enabling collaboration and ensuring data consistency.

7. Mobile Accessibility:

•  Power BI offers mobile apps for iOS, Android, and Windows devices, allowing users to access reports and dashboards on-the-go and stay informed anytime, anywhere.

8. Scalability and Performance:

• It supports large datasets and provides performance optimization features, ensuring that reports and dashboards load quickly even with extensive data.

9. Cost-Effective Solution:

• Power BI offers various pricing plans, including a free version (Power BI Desktop) and subscription-based plans (Power BI Pro and Premium), making it accessible to businesses of all sizes.

1. Business Reporting and Analysis:

• Power BI is widely used for creating interactive reports and dashboards that provide insights into sales performance, financial metrics, operational efficiency, and more.

2. Data Exploration and Discovery:

• It allows users to explore data visually, uncover patterns, trends, and outliers, and gain deeper insights into business operations.

3. Operational Dashboards:

• Organizations use Power BI to create operational dashboards that monitor real-time data, track key metrics, and visualize performance against targets.

4. Financial Analytics:

• Power BI is utilized for financial reporting, budgeting, forecasting, and analyzing financial data to support strategic decision-making.

5. Marketing and Customer Analytics:

• Marketers leverage Power BI to analyze customer behavior, campaign performance, customer segmentation, and sentiment analysis from social media and other channels.

6. Supply Chain and Inventory Management:

• It helps in optimizing supply chain operations by analyzing inventory levels, supplier performance, demand forecasting, and logistics data.

7. Human Resources Analytics:

• HR departments use Power BI for workforce analytics, employee performance metrics, recruitment analytics, and HR KPI tracking.

8. Healthcare Analytics:

• In the healthcare sector, Power BI is used for analyzing patient data, operational efficiency, resource allocation, and clinical outcomes.

1. Power BI Desktop

• Report View: Where visualizations are created and arranged.
• Data View: Where data sources are imported, transformed, and modeled using Power Query Editor.
• Relationship View: Where relationships between different data tables are managed.
• Query Editor: For data transformation tasks using Power Query M language.

2. Power BI Service (Power BI Online)

• Dashboards and Reports: Published from Power BI Desktop for sharing and collaboration.
• Datasets: Connects to various data sources, refreshes data, and manages schedules.
• Workspaces: Collaborative spaces for teams to work on reports and dashboards.

3. Power BI Mobile

• Access: View and interact with reports and dashboards on mobile devices.
• Alerts: Receive notifications based on data thresholds.

4. Power BI Gateway

• Personal Gateway: Connects Power BI to on-premises data sources for refreshing datasets.
• Enterprise Gateway: Manages connections for multiple users and data sources securely.

1. Data Import and Transformation:

• Power Query: Data extraction, transformation, and loading (ETL) capabilities.
• Data Modeling: Creating relationships between data tables, defining measures and calculated columns using DAX (Data Analysis Expressions).

2. Data Visualization:

• Charts: Various types including bar charts, line charts, pie charts, etc.
• Maps: Geospatial visualization using Bing Maps integration.
• Matrixes and Tables: Tabular representations with drill-down capabilities.
• Custom Visuals: Extend Power BI with custom visualizations from AppSource.

3. Creating Reports and Dashboards:

• Report Design: Arranging visualizations, applying filters and slicers.
• Dashboard Design: Creating summary views with tiles from multiple reports.

4. Sharing and Collaboration:

• Publishing: Publish reports and dashboards to Power BI Service.
• Sharing: Share content with colleagues and stakeholders, control access permissions.
• Embedding: Embed Power BI reports and dashboards into other applications or websites.

5. Data Refresh and Scheduled Refresh:

• Refresh Options: Configure automatic refresh schedules for datasets.
• DirectQuery and Live Connections: Real-time data access options for up-to-date reporting.

6. Security and Governance:

• Row-level Security: Restrict data access based on user roles.
• Data Encryption: Ensure data security during transmission and storage.
• Auditing and Compliance: Monitor usage and ensure regulatory compliance.

7. Advanced Analytics and AI Integration:

• Power BI Premium Features: Advanced capabilities including large datasets, AI visuals, and paginated reports.
• Integration with Azure Services: Utilize Azure AI and Machine Learning services within Power BI.

8. Administration and Maintenance:

• Power BI Admin Portal: Manage settings, capacities, and licenses.
• Monitoring and Performance Tuning: Monitor usage, performance, and optimize data models.

Online Weekend Sessions: 09 - 12 | Duration: 40 to 45 Hours

1.Introduction to Power BI

• Overview of Power BI
• Power BI ecosystem and components
• Power BI Desktop vs. Power BI Service

2.Getting Started with Power BI Desktop

• Installing Power BI Desktop
• Connecting to data sources
• Loading data into Power BI

3.Transforming Data with Power Query

• Introduction to Power Query
• Data transformation basics (filtering, sorting, etc.)
• Advanced data transformations (merging, appending, pivoting, etc.)

4.Data Modeling in Power BI

• Introduction to data modeling
• Creating relationships between tables • DAX basics (functions, calculated columns, measures)

5.Creating Visualizations

• Basics of visualizations in Power BI
• Different types of charts and graphs
• Formatting and customization options

6.Building Interactive Reports and Dashboards

• Designing interactive reports
• Adding slicers, filters, and drill-through
• Creating and sharing dashboards

7.Publishing and Sharing Reports (Theoretical Part will try for practical – depends on Power BI service availability)

• Publishing to Power BI Service
• Sharing and collaborating on reports
• Setting up data refresh schedules

8.Advanced Power BI Features

• Power BI visuals marketplace
• Advanced DAX functions and calculations
• Power BI apps and workspaces

9.Power BI Administration and Security

• Administering Power BI tenants and workspaces
• Implementing security in Power BI
• Introduction to gateways

10.Introduction to Integration with Other Tools and Services

• Integrating Power BI with Excel
• Using Power BI with SharePoint and Teams

11.Power BI Best Practices and Performance Optimization

• Performance optimization tips
• Best practices for report design and development